• DocumentCode
    1255162
  • Title

    Flexible estimation of joint probability and joint cumulative density functions

  • Author

    Scarpiniti, Michele ; Parisi, Raffaele ; Uncini, Aurelio

  • Author_Institution
    INFOCOM Dept., Sapienza, Univ. of Rome, Rome, Italy
  • Volume
    46
  • Issue
    15
  • fYear
    2010
  • Firstpage
    1084
  • Lastpage
    1086
  • Abstract
    The aim of this reported work is to extend a recent, simple and effective algorithm for the estimation of the probability density function and cumulative density function to the case of bidimensional random vectors. The algorithm is based on an information maximisation approach. The nonlinear bidimensional function involved in the algorithm is adaptively modified during learning and is implemented by using a bidimensional spline function.
  • Keywords
    optimisation; probability; random functions; splines (mathematics); bidimensional random vectors; bidimensional spline function; cumulative density function estimation; information maximisation approach; probability density function estimation;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el.2010.1307
  • Filename
    5521388
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1255162